Triple
T6726839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pollux |
E153537
|
entity |
| Predicate | climbingPopularity |
P73387
|
FINISHED |
| Object | popular with climbers |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: popular with climbers | Statement: [Pollux, climbingPopularity, popular with climbers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: climbingPopularity Context triple: [Pollux, climbingPopularity, popular with climbers]
-
A.
climbingCategory
Indicates the classification level or difficulty grade assigned to a climbing route, problem, or activity.
-
B.
climbingHabit
Indicates a relationship where an entity has a tendency or behavior of climbing, such as regularly ascending surfaces, structures, or other objects.
-
C.
climbingActivity
Indicates an activity where an entity ascends or scales a surface, structure, or natural formation, typically using physical effort and coordination.
-
D.
climbingArea
Indicates that one entity is a designated location or site used for climbing activities in relation to another entity.
-
E.
climbingSignificance
Indicates the degree to which something is important, relevant, or impactful within the context of climbing activities or climbing-related evaluation.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c6880afb988190ad88011b48ecfcba |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d354177481908ab3cf5437c095e2 |
completed | March 27, 2026, 6:58 p.m. |
| PD | Predicate disambiguation | batch_69c6d08e8a2c8190ae4e8d8c039be7ce |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d35134148190b49fb5c25a0f8ed4 |
completed | March 27, 2026, 6:58 p.m. |
Created at: March 27, 2026, 2:08 p.m.